Constructing and Validating Motive Bridging Inferences

Area of Science:

• Cognitive Psychology
• Natural Language Processing
• Computational Linguistics

Background:

• Readers often make bridging inferences to understand causal relationships in texts.
• Understanding the motivation behind actions is a key aspect of text comprehension.
• Previous models have focused on inference generation but less on the validation process.

Purpose of the Study:

• To investigate the reader's validation process for motive-based inferences.
• To determine if readers access general knowledge to validate inferred motives.
• To explore the timing and integration of this validation knowledge.

Main Methods:

• Five experiments were conducted using motive and control sequences.
• Participants answered questions probing hypothesized validating knowledge.
• Control procedures included proofreading and causal processing strategies.
• Delayed priming assessed the integration of validating knowledge.

Main Results:

• Understanding motive sequences significantly facilitated knowledge validation.
• Validation processing occurred even with sentences separated by several others.
• Inferred and explicit knowledge had similar representational status.
• Proofreading disrupted validation, while causal processing did not enhance it.
• Validating knowledge is integrated with text representation.

Conclusions:

• Readers actively validate inferred motives using general knowledge.
• This validation process is a critical component of text comprehension.
• Findings support construction-integration models of text processing.